The geographic displacement of human beings in space and time, seen as individuals or groups.
Individual movements.
Population trips.
6/16/2021
The geographic displacement of human beings in space and time, seen as individuals or groups.
Individual movements.
Population trips.
Through a variety of transport modes, e.g.,
- Transport modal disparities
Different modes present distinct characteristics such as travel time and spatiotemporal distribution of trips.
Transportation presents a major challenge to curbing climate change.
Better informed policymaking requires up-to-date empirical data with good quality, low cost, and easy access.
Emerging data sources enable deep and new insights from large-scale collection of human movement and transport systems.
Tweets and road networks (car + public transit) in Stockholm region
What are the potentials and limitations of using emerging data sources for modelling mobility?
How can new data sources be properly modelled for characterising transport modal disparities?
| RQ | # | Scope | Paper title |
|---|---|---|---|
| 1 | I | Population heterogeneity | From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data |
| II | Travel demand | Feasibility of estimating travel demand using geolocations of social media data | |
| III | A mobility model for synthetic travel demand from sparse individual traces | ||
| 2 | IV | Travel time | Disparities in travel times between car and transit: spatiotemporal patterns in cities |
| V | Modal competition | Ride-sourcing compared to its public-transit alternative using big trip data |
| Method |
|
||||
| I | II | III | IV | V | |
|---|---|---|---|---|---|
| Data mining | 🗸 | 🗸 | |||
| Mobility metrics and models | 🗸 | 🗸 | 🗸 | 🗸 | 🗸 |
| Methods in transport geography | 🗸 | 🗸 | |||